Learn more about tools for Observability, Advanced Control, and Industrial Process Optimization.
What you'll learn
Learn more about Industry 4.0 trends
Get familiar with the basics of the IEC 61499 standard
Understand how a data collection and observability tool works for Industry 4.0
Learn more about Advanced Control tools
Explore the concept of Software Defined Facility Requirements
No prior knowledge is required. The course will introduce tools and examples of solutions for Industry 4.0. Description
Through this course, you can become a Universal Integrator capable of driving digital transformation and open-source automation in the industry. You will explore pioneering and disruptive models that are revolutionizing the sector.This course is designed to elevate your career, based on real-world cases applied in major global companies. It includes both theoretical content and hands-on knowledge, covering topics such as:IEC 61499 StandardObservability and Data CollectionAdvanced ControlSoftware Defined FacilitiesThe course offers an immersion into the essential principles and practices of Industry 4.0. We'll start with an introduction to the concept of the Universal Integrator, emphasizing its importance for autonomy and flexibility in industrial operations, as well as how the solutions provided by Tupana can help address contemporary industry challenges.Next, we'll cover the fundamentals of the IEC 61499 standard, a crucial framework for system integration, focusing on its architecture and promoting interoperability among equipment from various vendors. Data collection and observability are also central themes, using tools like Saripe to visualize real-time data, making industrial processes more transparent and efficient.Additionally, the course delves into advanced control techniques, using Opper Arandu for process optimization, including tuning and safety approaches. We'll also explore the creation of a Software Defined Facility, integrating the technologies learned with existing systems.We'll share with you the knowledge accumulated over years of development at Aimirim. You'll have access to an innovative ecosystem to train and prepare yourself to meet the needs of today's and tomorrow's industry. Overview
Section 1: Introduction
Lecture 1 Get to know Aimirim
Lecture 2 Course Structure
Lecture 3 What is a Universal Integrator
Lecture 4 Industry 4.0 Trends
Section 2: Fundamentals of IEC 61499
Lecture 5 How Industrial Automation Works Today
Lecture 6 IEC 61131-3
Lecture 7 What is IEC 61499?
Lecture 8 What is a Function Block?
Lecture 9 Event Based Structure
Lecture 10 Examples of Function Blocks
Lecture 11 IEC 61131-3 vs IEC 61499
Lecture 12 Logic Examples: Heartbeat
Lecture 13 Logic Examples: Watchdog
Lecture 14 Logic Examples: Square Wave
Lecture 15 Logic Examples: Sawtooth Wave
Lecture 16 4diac IDE and 4diac FORTE Runtime
Lecture 17 EcoStruxure Automation Expert and UAO Runtime
Lecture 18 Edge Computing using IEC 61499
Lecture 19 Edge Devices
Section 3: Observability and Data Collection
Lecture 20 Observability in Industry 4.0
Lecture 21 Importance of Observability
Lecture 22 Structure of an Industrial Automation Network
Lecture 23 Structure of a Data Collection System
Lecture 24 Industrial Communication Protocols
Lecture 25 Structure of a Data Collection System
Lecture 26 Configuring a Gateway
Lecture 27 Connection to Data Source
Lecture 28 Data Points Registration
Lecture 29 Example of Creating a Data Collector
Lecture 30 Data Visualization
Lecture 31 Saripe - Solution for Observability
Section 4: Advanced Process Control
Lecture 32 Fundamentals of Process Control
Lecture 33 Problems with using PID Controls
Lecture 34 Advanced Process Controll
Lecture 35 Model-Free Adaptive Control
Lecture 36 Advantages of using Advanced Control
Lecture 37 Advanced Control Types
Lecture 38 Watchdog Logic for Edge
Lecture 39 Interface Variables
Section 5: Data Analytics
Lecture 40 Industry and Big Data
Lecture 41 How can Data Analysis help you?
Section 6: Distributed Control Systems
Lecture 42 What is a Software Defined Facility?
Lecture 43 Example of SDF Schema
Section 7: Bonus
Lecture 44 Conclusion
Professionals from the Industry looking for ways to innovate industrial processes.,Students or recent engineering graduates seeking to position themselves in the Industry 4.0 job market.
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Lead an SME effectively. Build relationships, drive results, develop teams, manage conflict, understand motivation.
What you'll learn
Systematic approach to people management
Conflict mediation and management
Influencing and motivating people
Cultivating positive employee mindset and behaviour Requirements
Individuals with minimum 2 years of working experience within a team Description
Elevate your leadership capabilities within your small to medium-sized enterprise (SME) through this focused online course. Being an effective leader requires a very different mindset and perspective from being just a team player. We guide you through the critical transition to a leadership role, providing a solid foundation for success. Master the five levels of leadership, a simple yet powerful framework for enhancing your influence and driving organizational impact.Learn practical strategies to cultivate strong team relationships, fostering trust and collaboration that directly contribute to achieving tangible results. Discover practical and effective techniques for developing your people, unlocking their potential and building a high-performing team. Expand your overall leadership impact by clearly understanding the distinctions between the manager role and the leader role.Equip yourself with crucial skills in managing and mediating conflicts effectively, turning potential challenges into opportunities for growth and stronger team unity. Gain valuable insights into team motivation and engagement through the practical application of Maslow's Hierarchy. This course provides you with actionable takeaways and the confidence to lead your SME with vision, inspire your team, and achieve sustainable success in today's competitive landscape. Invest in your leadership journey and unlock the full potential of your business. Overview
Section 1: Introduction
Lecture 1 Introduction 1 - What is Leadership and why is it important
Lecture 2 Introduction 2 - Speaker and Course Content
Section 2: Transitioning to a leadership role
Lecture 3 Transitioning to a Leadership Role
Lecture 4 Choosing What To Work On
Lecture 5 How Success Is Measured
Section 3: The Five Levels of Leadership Overview
Lecture 6 Five Levels of Leadership Overview
Lecture 7 Level 1 - Position
Section 4: The Five Levels of Leadership: Relationships
Lecture 8 Level 2 - Relationships
Lecture 9 Psychological Safety
Lecture 10 Vulnerability
Lecture 11 One-to-one Relationships
Lecture 12 One-to-one Conversations
Lecture 13 Active Listening and Empathy
Section 5: The Five Levels of Leadership: Achieving Results
Lecture 14 Level 3 - Results
Lecture 15 Why People Underperform
Lecture 16 SMART Goals
Lecture 17 IYOSA Method in Giving Instructions
Lecture 18 EEC Method in Giving Feedback
Lecture 19 OTJM Method in Achieving Objectives Effectively
Lecture 20 Level 3 - Results - Closing
Section 6: The Five Levels of Leadership: People Development and Leadership Influence
Lecture 21 Level 4 - People Development - mentoring and coaching
Lecture 22 Level 5 - Values
Lecture 23 Leadership Influence Level is Specific to Individuals
Lecture 24 Leadership Influence Level and Team Size
Section 7: Manager vs Leader Roles
Lecture 25 Manager vs Leader Roles
Section 8: Managing Conflicts
Lecture 26 Conflict Management - Finding Common Ground
Lecture 27 Conflict Management - Analyse Unmet Expectations
Lecture 28 Conflict Management - Empathize and Understand Emotions
Lecture 29 Conflict Management - Never Get Personal
Lecture 30 Conflict Management - Know When to Escalate
Section 9: Mediating Conflicts
Lecture 31 Mediating Conflicts - Staying Neutral and Being Perceived As Su
Lecture 32 Mediating Conflicts - Ask the Right Questions
Lecture 33 Mediating Conflicts - Do Not Become Part of the Conflict
Lecture 34 Mediating Conflicts - Make a Stand
Lecture 35 Mediating Conflicts - Explain Your Judgement
Section 10: Maslow's Hierarchy and leadership
Lecture 36 Maslow's Hierarchy and leadership
Section 11: Closing
Lecture 37 Next Steps
Lecture 38 Closing
Individuals in leadership positions,Small business owners
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HR Risks | ISO 31000 | Human Error | Risk Assessment | Culture Audit | Leadership Accountability | Mitigation Strategies
What you'll learn
Understand the concept of human risk in business and its impact on organizational performance
Identify and analyze key HR risks using models like the Risk Heat Map, Fraud Triangle, and ISO 31000
Explore cognitive biases, decision-making flaws, and how they lead to HR risks
Investigate real-world HR incident case studies and learn from other companies' mistakes
Apply global risk mitigation standards such as ISO 31000 in HR contexts
Assess the role of top management in creating or preventing organizational risk
Build a culture of risk awareness and understand how values and trust affect employee behavior
Define clear roles and responsibilities using the "three lines of defense" model
Improve decision-making processes within HR and leadership teams
Establish a clear system of personal responsibility through codes of conduct and job descriptions
Requirements
A basic understanding of HR functions and organizational structure
Experience working in HR, management, or compliance roles (helpful but not required)
An interest in risk management and improving decision-making processes
Description
Every organization faces risk, but few understand how deeply human behavior drives those risks. In this hands-on course, you will master HR Risk Management - from identifying vulnerabilities in employee behavior and company culture to implementing mitigation strategies aligned with ISO 31000 standards.You'll explore how to assess internal and external people risks, build a culture of accountability, prevent fraud, and respond to crisis scenarios effectively. With practical frameworks, real company case studies, and expert-checked homework assignments, you'll leave with a risk control system ready to deploy.What you'll learn in this course:Understand human-driven business risks and the HR role in managing themApply global models like the Risk Heat Map, 4I Model, and ISO 31000Analyze organizational culture and leadership behaviors that influence riskSet up your own HR risk management system and audit planPrevent leadership pitfalls and cultural blind spots before they damage performanceCourse Program Includes:Introduction to HR RisksHuman error, decision-making flaws, and risk triggers in businessRisk Models and ToolsRisk heat maps, fraud triangles, HR risk thermographicsHuman Factors Behind RisksBiases, conflicts of interest, and poor judgment patternsRisk Identification and AnalysisCase studies, incident mapping, company-wide threat detectionBuilding a Risk SystemISO 31000 principles, personnel risk hierarchy, mitigation planningLeadership Risk & DynamicsHow CEOs and leadership teams become risk factors themselvesCultural Risk ImpactTrust erosion, weak values, and cultural red flagsAccountability and Audit Models3 Lines of Defence, HR's role in risk monitoringImproving DecisionsChecklists, de-biasing tools, decision safeguardsEthics and Personal ResponsibilityCodes of conduct, personal role in organizational securityBy the end, you'll have a complete roadmap for managing people-related risk in your company - and the skills to become the go-to expert in HR compliance, governance, and cultural integrity.Ready to safeguard your company's future? Enroll now and build your HR risk management system step by step.
Who this course is for
HR professionals seeking to strengthen their risk management skills and protect their organizations
HR Directors and People Partners responsible for strategic planning and organizational stability
Compliance and internal audit team members working closely with HR on risk-related issues
Business owners and team leads aiming to reduce people-related risks in their teams
Consultants and corporate trainers who advise companies on HR systems and policies
Anyone involved in decision-making or talent management who wants to build a secure and ethical work environment Homepage:
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A hands-on guide to building scalable web & API automation frameworks in Katalon Studio
What you'll learn
Build an end-to-end test automation framework in Katalon Studio
Automate UI tests on real browsers
Automate REST APIs with authentication using JWT bearer tokens
Manage test data using CSV, global variables, and execution profiles
Implement smart wait and custom Reusable keywords
Capture screenshots, generate test logs, and create reusable reports
Requirements
Basic Knowledge of Java and web and api testing
Description
Are you ready to master Katalon Studio and accelerate your journey as a QA automation engineer or architect? This course offers a complete, real-world, project-based guide to building modern, scalable, and CI/CD-ready test automation frameworks for both Web and API testing - all using Katalon Studio's low-code approach.You will learn how to design enterprise-level end-to-end automation solutions. From setting up test project structure and dynamic test data management to implementing smart wait strategies, custom keywords, execution profiles- this course covers it all.You'll simulate real-world QA tasks, such as login automation, appointment booking, API user creation with bearer tokens, and more.Each section follows automation best practices adopted in industry-leading QA teams, making it perfect for both beginners and experienced engineers who want to upgrade their skills or build portfolio-worthy projects. You will also explore how to work with Test Data Files, and Global Variables, while applying robust test design principles such as modularization, reusability, and separation of test logic from test data.This will help you to start testing early in your project to support shift left and shift right testing.By the end of this course, you'll have a reusable and professional test automation framework built from scratch, aligned with 2025 standards.
Who this course is for
QA Engineers & Testers (Manual or Automation)
Test Automation Architects
SDETs looking to master Katalon Studio
Software Engineers exploring low-code test automation
Engineering Leads building scalable test solutions
Students preparing for test automation interviews Homepage:
What you'll learn
General Physiology
Understand the physiology of human body systems
Blood and Body Fluids
Hemeostasis
Muscle Physiology Requirements
You will learn everything you need to know. Description
The science of life Human PhysiologyThis course offers a comprehensive explanation to human physiology, focusing on the fundamental mechanisms that govern the function of the body's major systems. Students will explore cellular processes, tissue structure, and the coordinated activities of the muscular, nervous, cardiovascular, respiratory, renal, digestive, and endocrine systems. Special emphasis will be placed on understanding how these systems work individually and together to maintain homeostasis.Throughout the course, students will develop a strong foundation in key physiological principles such as membrane transport, signal transduction, energy metabolism, and the integration of organ system functions. Case studies and clinical correlations will help bridge basic science with real-world applications, preparing students for advanced studies in health sciences, medicine, and related fields.The course combines lectures, discussions, laboratory exercises, and problem-solving sessions to encourage active learning and critical thinking. Students will also engage in experiments and simulations to reinforce theoretical concepts and develop practical skills.By the end of the course, students will be able to explain the physiological concepts of health and disease, apply physiological knowledge to new situations, and critically evaluate physiological information. No prior background in biology is required, though a basic understanding of high school biology is recommended. Overview
Section 1: General Physiology
Lecture 1 Introduction
Lecture 2 Cells
Lecture 3 Tissues
Lecture 4 Understanding organs in the body
Lecture 5 Systems of the body
Lecture 6 Cell Structure
Lecture 7 Lipid bilayer
Lecture 8 Cell Membrane Protien Layers
Lecture 9 Carbohydrates Cell Membrane
Lecture 10 Cytoplasm and Organelles
Lecture 11 Golgi Apparatus
Lecture 12 Lysosomes
Lecture 13 Peroxisomes in Cells
Lecture 14 Mitochondrion Overview
Lecture 15 Ribosomes
Lecture 16 Overview of the Nucleus
Lecture 17 DNA Structure and Function
Lecture 18 RNA Structure and Function
Lecture 19 Growth Factors
Lecture 20 Necrosis Cell
Lecture 21 Atrophy and Hypertrophy
Lecture 22 Cell Degeneration
Lecture 23 Cell Junction
Lecture 24 Gap Junction
Lecture 25 Anchoring Junction
Lecture 26 Transport through Cell membrane
Lecture 27 Protein channels
Lecture 28 Diffusion
Lecture 29 Active transport
Lecture 30 Primary Active transport
Lecture 31 Secondary active transport
Lecture 32 Vesicular transport ( Endocytosis )
Lecture 33 Exocytosis
Lecture 34 Molecular motors
Lecture 35 Homeostasis
Lecture 36 Homeostasis
Lecture 37 Components of homeostatic system
Lecture 38 Negative feedback
Lecture 39 Positive feedback
Lecture 40 Acid_Base balance
Lecture 41 Determination of acid _base status
Lecture 42 Phosphate buffer system
Lecture 43 Protein buffer system
Lecture 44 REGULATION OF ACID-BASE BALANCE BY RESPIRATORY MECHANISM
Lecture 45 Acidosis & Alkalosis
Lecture 46 Metabolic acidosis
Lecture 47 Body fluids
Lecture 48 Hemeostasis
Lecture 49 Transport mechanism
Lecture 50 Water in metabolic reactions
Lecture 51 Texture of Tissues
Lecture 52 Temperatures regulation
Lecture 53 DISTRIBUTION OF BODY FLUIDS
Lecture 54 COMPOSITION OF BODY FLUIDS
Lecture 55 INDICATOR DILUTION METHOD
Lecture 56 INDICATOR DILUTION METHOD
Lecture 57 INDICATOR DILUTION METHOD
Lecture 58 Marker substances
Lecture 59 Marker substances
Lecture 60 CONCENTRATION OF BODY FLUIDS
Lecture 61 Osmolality
Lecture 62 Osmolarity
Lecture 63 Mole and Osmole
Lecture 64 Tonicity
Lecture 65 Tonicity
Lecture 66 Isotonic fluid
Lecture 67 Hypertonic fluid
Lecture 68 Hypotonic fluid
Lecture 69 Mastering water balance
Lecture 70 Types of dehydration
Lecture 71 Dehydration types according to water & sodium
Lecture 72 Causes of dehydration
Lecture 73 Signs & Symptoms
Lecture 74 Dehydration in infant
Lecture 75 Dehydration in aging
Lecture 76 Treatment of dehydration
Lecture 77 Water intoxication or overhydration
Lecture 78 Causes of water intoxication
Lecture 79 Signs & Symptoms of water intoxication
Lecture 80 Treatment of Water intoxication
Lecture 81 Blood
Lecture 82 Properties of blood
Lecture 83 Composition of blood
Lecture 84 Blood cells
Lecture 85 Hematocrit value
Lecture 86 Plasma
Lecture 87 Serum
Lecture 88 Functions of the blood
Lecture 89 Plasma protiens
Lecture 90 SEPARATION OF PLASMA PROTEINS
Lecture 91 Properties of plasma proteins
Lecture 92 Origin of plasma proteins
Lecture 93 Functions of plasma protiens
Lecture 94 Functions of plasma protiens in details
Lecture 95 Variation in plasma protiens levels
Lecture 96 Red blood cells
Lecture 97 Normal shape of RBC's
Lecture 98 Normal size
Lecture 99 Normal structure
Lecture 100 Properties of RBC's
Lecture 101 Red Blood Cell Lifespan-
Lecture 102 FATE OF RED BLOOD CELLS
Lecture 103 Functions of RBC's
Lecture 104 Increase in RBC Count ( Physiological variation )
Lecture 105 Decrease in RBC count ( Physiological variation )
Lecture 106 Pathological variation in RBC's
Lecture 107 VARIATIONS IN SIZE OF RED BLOOD CELLS
Lecture 108 VARIATIONS IN SHAPE OF RED BLOOD CELLS
Lecture 109 VARIATIONS IN STRUCTURE OF RED BLOOD CELLS
Medical students,Nursing students,Pharma students
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What you'll learn
Master Matrix Operations Confidently add, multiply, and invert matrices with economic applications (e.g., input-output models).
Apply Matrices to Real Economics Problems Solve GDP forecasting, trade equilibrium, and econometric equations using matrix algebra.
Ace Exams with Speed & Accuracy Learn shortcuts to solve matrix-based exam questions in 5 minutes (common in Econ finals!).
Build Career-Ready Skills Use Python/Excel for matrix-driven economic data analysis (taught in plain language). Requirements
1. A "Let's Do This!" Attitude: Zero prior matrix knowledge required-we start from scratch!
2. Basic High School Math: Comfort with arithmetic, fractions, and simple equations (e.g., solving for *x*).
3. Curiosity About Economics: Interest in linking math to concepts like GDP or supply-demand models. Description
Struggling to apply matrices to economic models, input-output analysis, or game theory? This crash course is your key to unlocking A+ grades and mastering matrix algebra for economics!Designed for economics students, this course transforms complex linear algebra into practical, easy-to-follow lessons. Over 7 structured sections, you'll:Demystify matrix operations (addition, multiplication, inverses) and their role in economic frameworks.Solve real-world problems like Leontief input-output models, optimization, and Markov chains-plus practice with industry-standard tools like Excel/Python.Gamify learning with interactive quizzes, case studies (e.g., GDP calculations, resource allocation), and cheat sheets.Build exam confidence with step-by-step templates for eigenvalue analysis, linear programming, and dynamic economic systems modeling.Why enroll?No math phobia! Even if you are from a Non-mathematical background. Our lessons start with the basics and progress to advanced applications.Save time with condensed, visual lectures (bite-sized videos under 10 mins).Lifetime access to downloadable worksheets, solved exam papers, peer discussion forums, and 24/7 Q&A support.Whether prepping for finals, giving UGC-NET-JRF Exams/CPET/CUET Exams, tackling econometrics, or preparing for a career in economic policy, this course turns matrices from a headache to your secret weapon. Join 2,500+ students who've transformed confusion into clarity. Enroll now and conquer your syllabus FAST! YES.See you inside the course! Overview
Section 1: What is Matrices?
Lecture 1 Introduction
Section 2: Matrices Operation
Lecture 2 Addition and Subtraction of Matrix
Section 3: Matrices Operation
Lecture 3 Multiplication of Matrices
Section 4: Types of Matrices
Lecture 4 Introduction to The Types of Matrices
Lecture 5 Based on Dimension
Lecture 0 Based on Elements
Lecture 6 Based on Operations
Lecture 7 Based on Applications
Lecture 8 Based on Special Properties
Section 5: Inverse of a Matrix
Lecture 9 Inverse of a 2*2 Matrix
Lecture 10 Inverse of a 3*3 Matrix
Section 6: Solving Linear Systems using Matrices
Lecture 11 Solving Linear Equations by two different methods
Section 7: Input-Output Model using Matrix
Lecture 12 Solving Input-Output Model
Economics Students (Undergrad/Grad): Struggling with matrices in econometrics, input-output models, or exams. Want to transform confusion into A+ grades FAST.,Aspiring Data Analysts & Economists: Craving practical matrix skills for forecasting, trade analysis, or Python-driven economic modeling.,Career Changers & Professionals: Needing to bridge math gaps for roles in finance, policy, or data-driven economics.,Self-Learners: Obsessed with "math for real-world economics" (no abstract theory-just GDP, supply chains, and $$$).,You'll Love This Course If You've Ever Thought: "Why do matrices matter for economics? " "I need to ace my exam next week!" "I want to use Python/Excel for economic analysis. but where do I start?"
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Streamline logistics and inventory control with AI-powered analytics using Altair RapidMiner AI Studio
What you'll learn
Comprehensive Knowledge: Participants will understand AI concepts and their applications in the supply chain industry.
Practical Skills: Learners will be adept at using Altair RapidMiner AI Studio to build and deploy AI models without coding.
Project Implementation: Participants will complete a capstone project, demonstrating their ability to apply no-code AI tools in real-world supply chain scenar
Industry Readiness: Graduates will be equipped with the knowledge and skills required to leverage AI in supply chain management roles effectively. Requirements
No programming skills are required. Just strong supply chain management skills will be enough. Description
This course is designed to equip supply chain management professionals with the essential skills to harness AI's transformative potential-without the need for coding expertise. In today's fast-paced and increasingly digital landscape, AI has become an integral part of modern logistics, demand forecasting, and operational efficiency. Understanding and leveraging AI-driven solutions can significantly enhance decision-making, optimize resource allocation, and create more resilient supply chain ecosystems.The journey begins with an exploration of AI's presence in everyday life, highlighting how it seamlessly integrates into business operations. You'll gain a strong foundation in AI fundamentals-unpacking its what, why, where, and how-before diving into the complete AI project life cycle, tailored specifically for supply chain applications. Through real-world case studies and industry insights, you'll discover how leading organizations use AI to streamline processes, reduce costs, and improve supply chain agility.The curriculum emphasizes no-code AI frameworks, ensuring accessibility for professionals across industries. Hands-on training with Altair RapidMiner AI Studio provides practical experience, enabling you to build, test, and implement AI-driven models without programming skills. The course culminates in a dynamic capstone project, where you'll develop an end-to-end AI solution that tackles a real-world supply chain challenge.This comprehensive approach ensures you gain both theoretical knowledge and practical expertise, positioning you as a leader in AI-driven supply chain transformation. Overview
Section 1: Introduction
Lecture 1 Why take this course?
Lecture 2 Course Objectives and Expected Outcomes
Section 2: AI around us
Lecture 3 AI around us - Part-1
Lecture 4 AI around us - Part-2
Lecture 5 AI in industry: How it works
Section 3: AI Industry Applications in Supply Chain Management
Lecture 6 Demand Forecasting
Lecture 7 Inventory Optimization
Lecture 8 Supplier Selection and Management
Lecture 9 Predictive Maintenance
Lecture 10 Route Optimization
Lecture 11 Warehouse Automation
Lecture 12 Logistics Planning
Lecture 13 Quality Control
Lecture 14 Risk Management
Lecture 15 End-to-End Visibility
Section 4: Exploring Artificial Intelligence
Lecture 16 What is AI?
Lecture 17 Narrow Vs General Vs Super AI
Lecture 18 Machine Learning and its types
Lecture 19 Popular Industry Use Cases of Machine Learning
Lecture 20 Deep Learning & its Industry Applications
Lecture 21 Data Science & its Industry Applications
Lecture 22 AI in Nutshell
Lecture 23 Dispelling Myths about AI
Section 5: Understanding No-Code AI
Lecture 24 Introduction to No-Code AI
Lecture 25 Popular No-Code AI Platforms
Section 6: Getting started with Altair RapidMiner AI Studio
Lecture 26 Step-by-Step Installation
Lecture 27 Understanding the Interface
Lecture 28 Getting Started with the Platform
Lecture 29 Importing Data into the Platform
Section 7: Working with Altair RapidMiner AI Studio
Lecture 30 Data Management: Handling Missing Values
Lecture 31 Data Normalization: Detecting and Managing Outliers
Lecture 32 Filtering Techniques: Refining Data Selection
Lecture 33 Dataset Integration: Merging Data Sources for Insights
Lecture 34 Data Aggregation: Blending Data for Analysis
Lecture 35 Feature Engineering: Data Attributes
Lecture 36 Discretization Strategies: Enhancing Data Representation
Lecture 37 My First No-Code AI Project
Section 8: No-Code AI Capstone Project - Project Framework & Overview
Lecture 38 Project Prelude: Unravelling the Problem Statement
Lecture 39 Setting the Context: Unveiling the Project Background
Lecture 40 Project Objectives and Expected Outcomes
Lecture 41 Data Discovery Journey: Exploring the Dataset
Lecture 42 Project Implementation Approach: Understanding Project Step-by-Step
Section 9: No-Code AI Capstone Project - Hands-on Implementation
Lecture 43 Hands-on Data Dive: Importing the Dataset
Lecture 44 Hands-on EDA Essentials: Navigating the Data Landscape
Lecture 45 Hands-on Tidy-up: Mastering Data Cleaning
Lecture 46 Hands-on Readiness: Mastering Data Preprocessing
Lecture 47 Hands-on Learning: Training the Prediction Model
Lecture 48 Hands-on Evaluation: Testing the Prediction Model
Lecture 49 Hands-on Spotlight on Outcome: The Result and Performance Analysis
Lecture 50 Hands-on Insights: Extending the project learnings
Supply Chain Management Students & Recent Graduates - Ideal for individuals currently studying supply chain management or related fields who wish to acquire practical, no-code AI skills without a technical background.,Supply Chain Managers & Team Leaders - Tailored for mid-level professionals who oversee everyday supply chain operations, logistics, and inventory management, and are looking to integrate AI-driven insights for enhanced efficiency.,Logistics Analysts & Operational Specialists - Perfect for professionals focusing on data analysis and process optimization within supply chains, who want to leverage no-code AI tools to drive actionable insights.,Emerging Supply Chain Leaders & Non-Technical Professionals - Suited for aspiring leaders from non-technical backgrounds who are eager to adopt innovative AI solutions and spearhead digital transformation in the supply chain domain.,Senior Supply Chain Executives (e.g., VP/Directors of Supply Chain) - Beneficial for high-level decision-makers seeking scalable, implementable AI solutions to optimize strategic supply chain operations and maintain a competitive edge.
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What you'll learn
Strategic thinking perspectives and applications,
Strategy formulation perspectives and applications.
Strategic change perspectives and applications.
Organizational purpose perspectives and applications.
Organizational context perspectives and applications
International context perspectives and applications
Requirements
There are no prerequisites to take our course.
Description
Strategy is the art and science of planning and executing actions to achieve long-term goals and objectives. It involves analyzing the environment, identifying opportunities and challenges, and making informed decisions to optimize outcomes. A well-crafted strategy ensures that resources are used efficiently, risks are managed effectively, and actions align with broader organizational or personal goals.A strategic perspective is an approach to analyzing and addressing challenges with a long-term, big-picture mindset. It involves considering all the working parts of a business or situation and how they interact to shape future outcomes. This perspective is essential for shaping competitive strategies, enhancing decision-making, and ensuring sustainable success.Telecom and IT operations can be executed more effectively by integrating strategic perspectives. Strategic perspectives not only enhances operational efficiency but also ensures alignment with broader business objectives, fostering long-term success.By incorporating strategic thinking, strategy formulation, strategic change, and organizational purpose perspectives into Telecom/IT sectors/operations, we can optimize performance and improve overall effectiveness.This training addresses which strategic perspectives can be applied to Telecom and IT sectors/operations, what their definitions are, and why and where they can be implemented. However, it does not provide answers to the how question. It serves as a gateway for managers and professionals to strategically plan, analyze, and optimize Telecom & IT sectors/operations.There are no prerequisites to take our course. Our training is designed for managers and professionals who want to learn why&when to apply strategic perspectives in Telecom and IT sectors/operations.
Who this course is for
Our training is designed for managers and professionals who want to learn why&when to apply strategic perspectives in Telecom and IT sectors/ operations. Homepage:
Master end-to-end supply chain skills, from sourcing to delivery, with real tools, tactics, and case studies.
What you'll learn
Understand how supply chains really work-from sourcing to delivery.
Learn the difference between logistics and supply chain management.
Discover how to manage inventory, forecast demand, and avoid stockouts.
Explore transportation modes, warehousing strategies, and last-mile delivery.
Master tools like ERP, WMS, TMS, and other key supply chain technologies.
Learn how to choose, evaluate, and manage suppliers effectively.
Understand the causes of supply chain disruptions and how to manage risk.
Explore sustainable and ethical supply chain practices that support long-term growth.
Analyze real-world case studies to see what success and failure look like in action.
Identify career paths in supply chain and how to boost your job prospects with certifications.
Requirements
No prior experience in supply chain or logistics is required.
A basic understanding of business or operations is helpful but not necessary.
Description
Master the Complete Supply Chain - From Sourcing to Delivery - and Build a High-Impact Global CareerIn today's fast-moving business world, supply chain and logistics management are more important than ever. From sourcing raw materials to delivering finished products across the globe, efficient supply chain strategies drive growth, reduce costs, and improve customer satisfaction.This Professional Diploma in Supply Chain & Logistics Management is your complete step-by-step guide to understanding, managing, and optimizing every part of the supply chain. Whether you're a beginner, a working professional, or an entrepreneur, this course will give you the practical knowledge and skills needed to succeed in one of the most in-demand fields worldwide.With practical lessons, real-world examples, and clear explanations, you'll gain not just theory-but job-ready skills you can use immediately. Learn how companies like Zara, Amazon, and Apple built fast, flexible supply chains-and how you can apply the same principles in your work.By the end of this course, you'll be ready to take on real responsibilities in procurement, logistics, planning, warehousing, or operations-backed by the knowledge of modern tools, strategies, and global best practices.Enroll now and take the first step toward building a stable, rewarding career in supply chain and logistics. Learn at your own pace. Lifetime access. No experience required.
Who this course is for
Anyone starting a career in logistics, supply chain, or operations.
Students and recent graduates interested in a high-demand global field.
Business owners who want to streamline sourcing, inventory, or delivery.
Team leaders or coordinators seeking a stronger understanding of supply chain systems.
Anyone preparing for supply chain certifications or career advancement.
Professionals looking to expand their knowledge and move into management roles. Homepage:
Master warehouse operations, inventory control, and logistics skills to build a real-world, job-ready career path.
What you'll learn
Understand how modern warehouses operate from inbound to outbound
Learn how to organize layouts, zones, and storage systems efficiently
Manage different types of inventory and apply stock control techniques
Handle receiving, picking, packing, shipping, and returns like a pro
Use smart picking methods to improve speed and accuracy
Apply health, safety, and equipment handling standards in real-world settings
Work with warehouse technology like barcoding, RFID, and WMS
Improve turnaround time and reduce errors across warehouse operations
Build teamwork, solve daily challenges, and coordinate across departments
Develop a career path in warehousing, logistics, or inventory management
Requirements
There are no requirements for taking this course.
Description
Learn the essential skills to run and manage modern warehouses with confidence.Whether you're starting from scratch, already working in operations, or planning a career move, this course gives you practical, job-ready training that applies to every industryFrom the moment goods arrive at a warehouse to the moment they ship out - every step matters. In this course, you'll learn exactly how to manage those steps with speed, accuracy, and safetyYou'll discover how to organize warehouse layouts, improve picking and packing methods, and apply real inventory control techniques. You'll understand how to reduce errors, manage stock efficiently, and keep goods flowing smoothly across the supply chainWe'll cover everything from warehouse zoning, equipment, and safety protocols to using WMS software, barcoding systems, and reverse logistics. You'll also learn how to build strong teams, coordinate across departments, and apply daily operations planning like a professionalThis course is designed for anyone who wants to: Start a career in warehousing or logisticsMove up from a basic warehouse role to a supervisor or team leaderUnderstand inventory systems and improve workplace efficiencyWork in retail, e-commerce, manufacturing, or distribution operationsNo degree is required - just a willingness to learnBy the end of this course, you'll be ready to step confidently into any warehouse environment and start making an impact from day one
Who this course is for
Anyone looking to start a career in warehousing, logistics, or inventory management
Warehouse workers who want to move into supervisor or manager roles
Job seekers who want a practical, in-demand skill with no degree required
Small business owners who manage their own storage and shipping
Career changers exploring stable, hands-on roles in operations and supply chain
Students or recent graduates interested in entry-level logistics positions Homepage:
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